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CAREER: Wireless Access Control for Optimal Spectral Efficiency

CAREER: Wireless Access Control for Optimal Spectral Efficiency
职业:实现最佳频谱效率的无线访问控制
批准号:
9502614
负责人:
Leandros Tassiulas
金额:
$14.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1995
资助国家:
美国
项目状态:
已结题
起止时间:
1995-09-01 至 2002-05-31

项目摘要

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中文摘要
翻译
NCR-9502614 Leandros Tassiulas Wireless将成为接入未来宽带综合业务网络的首选方式。在无线接入中,主要问题是如何有效地利用有限的频谱容量,以适应个人通信服务(PCS)将产生的大流量需求。在数字网络中,将增强信令和控制的灵活性,以支持复杂的方案。网络控制应采用动态资源分配方法,以实现系统的最大利用率。本文将对联合基站分配、功率控制和信道分配的基本问题进行研究。在切换期间,当系统的配置改变时,以及在新连接时,会出现这样的问题。此外,对于随机变化的系统配置,应在系统运行期间以动态方式解决。该问题被描述为一个涉及连续和离散分量的优化问题。如果采用最优分配算法,则业务容量被定义为反映每个信道的最大移动数目的量。报告了两个基站的初步结果。提出了对多基站的一般问题进行研究。简要讨论了几种方法,包括限制通行能力的确定性模型、随机搜索算法(包括模拟退火法和遗传算法)和重复使用分区。*Darleen Fisher项目经理网络和通信研究项目(703)306-1949(703)306-0621(传真)
英文摘要
NCR-9502614 Leandros Tassiulas Wireless will be a method of choice for accessing the future broadband integrated services network. In wireless access the main problem is to utilize efficiently the limited spectrum capacity in order to accommodate the large traffic demands that will be generated by Personal Communication Services (PCS). In the digital network there will be enhanced flexibility in signaling and control to support sophisticated schemes. Dynamic resource allocation methods should be employed for network control in order to achieve maximum utilization of the system. The fundamental problem of joint base-station assignment, power control and channel allocation will be investigated here. Such a problem arises during hand-off, when the configuration of the system changes, as well as at the time of a new connection. Furthermore it should be solved in a dynamic fashion during the operation of the system and for system configurations that change randomly. The problem is formulated as an optimization problem that involves continuous and discrete components. The traffic capacity is defined as a quantity that reflects the maximum number of mobiles per channel if the optimal allocation algorithm is employed. Preliminary results for two base stations are reported. The study of the general problem with multiple base stations is proposed. Several approaches are briefly discussed including deterministic models for the limiting traffic capacity, randomized search algorithms including simulated annealing and genetic algorithms, and reuse partitioning. ******* Darleen Fisher Program Manager Networking and Communications Research Program (703) 306-1949 (703) 306-0621 (FAX)
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NSF-AoF: CNS Core Small: Lean-NextG: Learning to Network the Edge in Next Generation Wireless Networks
  • 批准号:
    2132573
  • 项目类别:
    Standard Grant
  • 资助金额:
    $40.61万
  • 财政年份:
    2021
  • 负责人:
    Leandros Tassiulas
  • 依托单位:
Collaborative Research: SWIFT: SHIELD: A Software-Hardware Approach for Spectrum Coexistence with Rapid Interferer Learning, Detection, and Mitigation
  • 批准号:
    2128530
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.0万
  • 财政年份:
    2021
  • 负责人:
    Leandros Tassiulas
  • 依托单位:
Collaborative Research: CNS Core: Medium: Design and Analysis of Quantum Networks for Entanglement Distribution
  • 批准号:
    1955204
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $40.0万
  • 财政年份:
    2020
  • 负责人:
    Leandros Tassiulas
  • 依托单位:
NeTS: Small: Optimizing Network Control and Function Virtualization in Internet of Things Architectures
  • 批准号:
    1815676
  • 项目类别:
    Standard Grant
  • 资助金额:
    $48.77万
  • 财政年份:
    2018
  • 负责人:
    Leandros Tassiulas
  • 依托单位:
国内基金
海外基金
基于Wireless Mesh Network的分布式操作系统研究
  • 批准号:
    60673142
  • 项目类别:
    面上项目
  • 资助金额:
    27.0万元
  • 批准年份:
    2006
  • 负责人:
    罗惠琼
  • 依托单位: